The Resource Ultra low bit-rate speech coding, V. Ramasubramanian, Harish Doddala

Ultra low bit-rate speech coding, V. Ramasubramanian, Harish Doddala

Label
Ultra low bit-rate speech coding
Title
Ultra low bit-rate speech coding
Statement of responsibility
V. Ramasubramanian, Harish Doddala
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
""Ultra Low Bit-Rate Speech Coding"" focuses on the specialized topic of speech coding at very low bit-rates of 1 Kbits/sec and less, particularly at the lower ends of this range, down to 100 bps. The authors set forth the fundamental results and trends that form the basis for such ultra low bit-rates to be viable and provide a comprehensive overview of various techniques and systems in literature to date, with particular attention to their work in the paradigm of unit-selection based segment quantization. The book is for research students, academic faculty and researchers, and industry prac
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Ramasubramanian, V
Dewey number
006.4/54
Illustrations
illustrations
Index
no index present
LC call number
TK7882.S65
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
Doddala, Harish
Series statement
SpringerBriefs in Electrical and Computer Engineering,
http://library.link/vocab/subjectName
  • Speech processing systems
  • Automatic speech recognition
  • Bit error rate
  • COMPUTERS
  • Automatic speech recognition
  • Bit error rate
  • Speech processing systems
  • Electrical & Computer Engineering
  • Engineering & Applied Sciences
  • Telecommunications
  • Electrical Engineering
  • Applied Physics
  • Artificial intelligence
  • Pattern recognition
  • Natural language & machine translation
  • Imaging systems & technology
Label
Ultra low bit-rate speech coding, V. Ramasubramanian, Harish Doddala
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4939-1341-1
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Chapter 1: Introduction; 1.1 Lower Limit of Bit-Rate; 1.1.1 Using Text Accompanying Speech; 1.2 Vocoder Framework; 1.3 Clustered Codebook to Continuous Codebook; 1.3.1 Clustered Segment Codebook; 1.3.2 Vector Quantization Performance Trends and Limits; 1.3.3 Random Segment Codebooks; 1.3.4 Vector to Segment Quantization Performance Retention; 1.3.5 A Converging Viewpoint; 1.3.5.1Reasoning I; Part (a); Part (b); 1.3.5.2Reasoning II; Part (a); Part (b); Part (c); 1.4 Speech-to-Speech Synthesis by Unit-Selection; 1.5 Alternate Perspectives for Ultra Low Bit-Rate Speech Coding
  • 1.6 Applications of Ultra Low Bit-Rate Speech Coding1.7 Organization of the Book; Chapter 2: Ultra Low Bit-Rate Coders; 2.1 Vector and Matrix Quantization; 2.2 Segment Vocoders; 2.2.1 Automatic Segmentation; 2.2.1.1Spectral Transition Measure; 2.2.1.2Maximum-Likelihood Segmentation; 2.2.1.3ML Segmentation: Duration Constrained (ML(DC)); 2.2.1.4ML Segmentation: A Generalized Basis; 2.2.1.5 Syllable-like units and other segmentations; 2.2.1.6Temporal Decomposition; 2.2.2 Segment Quantization; 2.2.3 Joint Segmentation Quantization; 2.2.3.1Basic framework
  • 2.2.3.2Shiraki and Honda Variable-Length Segment Quantization2.2.3.3 2-LevelDP Framework for Joint Segmentation and Quantization; 2.2.3.4One-Pass DP Algorithm; 2.2.3.5Phoneme Recognition and Phonetic Vocoders; 2.2.4 Segment Codebook; 2.2.4.1Template Segment Codebooks; 2.2.4.2HMM Segment Codebook; 2.2.5 Duration Modification; 2.2.6 Residual Parameterization and Quantization; 2.2.7 Synthesis; 2.3 R/D Optimal Linear Prediction; 2.3.1 Prandoni and Vetterli R/D Optimal Linear Prediction; 2.3.2 Variable-to-Variable Length Vector Quantization; 2.3.3 Multigrams Quantization
  • 2.3.4 Distortion Constrained Segmentation2.4 HMM Based Recognition-Synthesis Paradigm; 2.4.1 HTS Based Framework; 2.4.2 Speaker Adaptive HMM Recognition-Synthesis; 2.4.3 Ergodic HMM Framework; 2.4.4 Ismail and Ponting HMM Based Vocoders; 2.4.5 Formant Trajectory Model Based Recognition-Synthesis; 2.5 ALISP Units and Refinements; 2.5.1 Basic ALISP Framework; 2.5.2 Re-segmented Long Synthesis Units; 2.5.3 Short Synthesis Units by Dynamic Unit Selection; 2.5.4 Pre-selection of Units; 2.5.5 Noise Robustness; 2.6 Speaker Adaptation in Phonetic Vocoders; 2.7 Unit-Selection Paradigms
  • 2.8 Performance Measures for Segment QuantizationChapter 3: Unit Selection Framework; 3.1 Lee-Cox Single-Frame Unit Selection Quantization; 3.1.1 An Alternate `5 ms Segment ́Single-Frame Unit-Selection Algorithm; 3.2 Lee-Cox Segmental Unit Selection Quantization; 3.3 Run-Length Coding and Effective Bit-Rate; 3.4 Sub-optimality of Lee-Cox Segmental Unit-Selection Algorithm; Chapter 4: Unified and Optimal Unit-Selection Framework; 4.1 Unified Unit-Selection Framework; 4.1.1 Proposed One-Pass DP Algorithm; 4.1.1.1Comparison with Lee and Cox Single-Frame and Segmental Unit-Selection
Dimensions
unknown
Extent
1 online resource (vii, 152 pages)
File format
unknown
Form of item
online
Isbn
9781493913411
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4939-1341-1
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)894509014
  • (OCoLC)ocn894509014
Label
Ultra low bit-rate speech coding, V. Ramasubramanian, Harish Doddala
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-1-4939-1341-1
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Chapter 1: Introduction; 1.1 Lower Limit of Bit-Rate; 1.1.1 Using Text Accompanying Speech; 1.2 Vocoder Framework; 1.3 Clustered Codebook to Continuous Codebook; 1.3.1 Clustered Segment Codebook; 1.3.2 Vector Quantization Performance Trends and Limits; 1.3.3 Random Segment Codebooks; 1.3.4 Vector to Segment Quantization Performance Retention; 1.3.5 A Converging Viewpoint; 1.3.5.1Reasoning I; Part (a); Part (b); 1.3.5.2Reasoning II; Part (a); Part (b); Part (c); 1.4 Speech-to-Speech Synthesis by Unit-Selection; 1.5 Alternate Perspectives for Ultra Low Bit-Rate Speech Coding
  • 1.6 Applications of Ultra Low Bit-Rate Speech Coding1.7 Organization of the Book; Chapter 2: Ultra Low Bit-Rate Coders; 2.1 Vector and Matrix Quantization; 2.2 Segment Vocoders; 2.2.1 Automatic Segmentation; 2.2.1.1Spectral Transition Measure; 2.2.1.2Maximum-Likelihood Segmentation; 2.2.1.3ML Segmentation: Duration Constrained (ML(DC)); 2.2.1.4ML Segmentation: A Generalized Basis; 2.2.1.5 Syllable-like units and other segmentations; 2.2.1.6Temporal Decomposition; 2.2.2 Segment Quantization; 2.2.3 Joint Segmentation Quantization; 2.2.3.1Basic framework
  • 2.2.3.2Shiraki and Honda Variable-Length Segment Quantization2.2.3.3 2-LevelDP Framework for Joint Segmentation and Quantization; 2.2.3.4One-Pass DP Algorithm; 2.2.3.5Phoneme Recognition and Phonetic Vocoders; 2.2.4 Segment Codebook; 2.2.4.1Template Segment Codebooks; 2.2.4.2HMM Segment Codebook; 2.2.5 Duration Modification; 2.2.6 Residual Parameterization and Quantization; 2.2.7 Synthesis; 2.3 R/D Optimal Linear Prediction; 2.3.1 Prandoni and Vetterli R/D Optimal Linear Prediction; 2.3.2 Variable-to-Variable Length Vector Quantization; 2.3.3 Multigrams Quantization
  • 2.3.4 Distortion Constrained Segmentation2.4 HMM Based Recognition-Synthesis Paradigm; 2.4.1 HTS Based Framework; 2.4.2 Speaker Adaptive HMM Recognition-Synthesis; 2.4.3 Ergodic HMM Framework; 2.4.4 Ismail and Ponting HMM Based Vocoders; 2.4.5 Formant Trajectory Model Based Recognition-Synthesis; 2.5 ALISP Units and Refinements; 2.5.1 Basic ALISP Framework; 2.5.2 Re-segmented Long Synthesis Units; 2.5.3 Short Synthesis Units by Dynamic Unit Selection; 2.5.4 Pre-selection of Units; 2.5.5 Noise Robustness; 2.6 Speaker Adaptation in Phonetic Vocoders; 2.7 Unit-Selection Paradigms
  • 2.8 Performance Measures for Segment QuantizationChapter 3: Unit Selection Framework; 3.1 Lee-Cox Single-Frame Unit Selection Quantization; 3.1.1 An Alternate `5 ms Segment ́Single-Frame Unit-Selection Algorithm; 3.2 Lee-Cox Segmental Unit Selection Quantization; 3.3 Run-Length Coding and Effective Bit-Rate; 3.4 Sub-optimality of Lee-Cox Segmental Unit-Selection Algorithm; Chapter 4: Unified and Optimal Unit-Selection Framework; 4.1 Unified Unit-Selection Framework; 4.1.1 Proposed One-Pass DP Algorithm; 4.1.1.1Comparison with Lee and Cox Single-Frame and Segmental Unit-Selection
Dimensions
unknown
Extent
1 online resource (vii, 152 pages)
File format
unknown
Form of item
online
Isbn
9781493913411
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-1-4939-1341-1
Other physical details
illustrations (some color).
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)894509014
  • (OCoLC)ocn894509014

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